{"id":"W6921885159","doi":"10.11583/dtu.21284967.v2","title":"Raw AI4Arctic Sea Ice Challenge Dataset","year":2022,"lang":"en","type":"dataset","venue":"DTU Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Open water; Synthetic aperture radar; Sea ice concentration; Sea ice thickness; Satellite; Data set; Arctic ice pack; Earth observation satellite","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008660137,0.002941211,0.001299603,0.002274172,0.0009943694,0.001238455,0.002507485,0.001619461,0.01478624],"category_scores_gemma":[0.001984002,0.000365005,0.001430268,0.002959695,0.0005049122,0.001376848,0.001534049,0.002025904,0.02287746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047532,"about_ca_system_score_gemma":0.001484081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03193808,"about_ca_topic_score_gemma":0.07247901,"domain_scores_codex":[0.9991837,0.0001044929,0.00007662189,0.0002227063,0.0002740753,0.0001383973],"domain_scores_gemma":[0.9990389,0.0001319758,0.00008025894,0.0002126582,0.0004183763,0.0001178267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001816894,0.0001551468,0.002739224,0.0004930961,0.00007985468,0.0001437388,0.00002565056,0.002779277,0.0006675899,0.0002269879,0.981751,0.01075677],"study_design_scores_gemma":[0.0004668954,0.0001712519,0.03357428,0.0004166369,0.0001055878,0.0004206981,0.000377239,0.01965647,0.003818437,0.001547373,0.9392983,0.0001469093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006506262,0.0005604287,0.0005902621,0.000310577,0.0003935185,0.0001137242,0.9849127,0.002438261,0.004174293],"genre_scores_gemma":[0.00252897,0.00007366035,0.0008253912,0.00006797918,0.00002685875,0.00007246394,0.9955227,0.00008314952,0.0007987185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03193808,"threshold_uncertainty_score":0.06350434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143968622386788,"score_gpt":0.3631209059485989,"score_spread":0.2191522835618109,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}